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Parallel Control of Distributed Parameter Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3291-3301
作者:  Song, Yuhua;  He, Xiuyu;  Liu, Zhijie;  He, Wei;  Sun, Changyin;  Wang, Fei-Yue
收藏  |  浏览/下载：307/0  |  提交时间：2019/01/08
Artificial system  data-driven  distributed parameter system  flexible structure  parallel control  
A CPSS-based Network Resource Optimization Mechanism for Wireless Heterogeneous Network 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 4, 页码: 985 - 994
作者:  Li YK(李玉珂);  Yang J(杨坚);  Wang X(王晓);  Han SS(韩双双);  Dongpu,Cao;  Wang FY(王飞跃)
浏览  |  Adobe PDF(4022Kb)  |  收藏  |  浏览/下载：347/114  |  提交时间：2019/04/19
Access Control Mechanism  Parallel Network  User Priority (Up)-based Mechanism  Quality Of Service (Qos)  Radio Resource Management (Rrm)  
Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3371-3380
作者:  Kang, Mengzhen;  Fan, Xing-Rong;  Hua, Jing;  Wang, Haoyu;  Wang, Xiujuan;  Wang, Fei-Yue
浏览  |  Adobe PDF(1485Kb)  |  收藏  |  浏览/下载：527/89  |  提交时间：2019/01/08
Big data  cropping plan  greenhouse management  Internet of Things (IoT)  modeling plant development and growth  nonlinear programming  smart agriculture  solar greenhouse  tomato  
A Survey of Cognitive Architectures in the Past 20 Years 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3280-3290
作者:  Ye, Peijun;  Wang, Tao;  Wang, Fei-Yue
浏览  |  Adobe PDF(734Kb)  |  收藏  |  浏览/下载：700/255  |  提交时间：2019/01/08
Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3381-3389
作者:  Dong, Hairong;  Zhu, Hainan;  Li, Yidong;  Lv, Yisheng;  Gao, Shigen;  Zhang, Qi;  Ning, Bin
浏览  |  Adobe PDF(2373Kb)  |  收藏  |  浏览/下载：424/192  |  提交时间：2019/01/08
ACP approach  high-speed railway system (HRS)  integrated operation control and dynamic scheduling  parallel intelligent system  
An overview of contour detection approaches 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672
作者:  Gong XY(宫新一);  Hu Su;  De Xu;  Zhengtao Zhang;  Fei Shen;  Huabin Yang
浏览  |  Adobe PDF(8437Kb)  |  收藏  |  浏览/下载：586/182  |  提交时间：2019/05/08
Contour Detection, Contour Salience, Gestalt Principle, Contour Grouping, Active Contour  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
浏览  |  Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：331/56  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018, 期号: no, 页码: no
作者:  Qiang Cui;  Shu Wu;  Qiang Liu;  Wen Zhong;  Liang Wang
浏览  |  Adobe PDF(979Kb)  |  收藏  |  浏览/下载：268/41  |  提交时间：2019/05/09
Multi-view  Sequential Recommendation  Recurrent Neural Network  Cold Start  
Multiview Clustering via Unified and View-Specific Embeddings Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5541-5553
作者:  Yin, Qiyue;  Wu, Shu;  Wang, Liang
收藏  |  浏览/下载：186/0  |  提交时间：2019/10/10
Incomplete multiview data  knowledge graph embedding  multiview learning  subspace learning  
Efficient Group-n Encoding and Decoding for Facial Age Estimation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 11, 页码: 2610-2623
作者:  Zichang Tan;  Jun Wan;  Zhen Lei;  Ruicong Zhi;  Guodong Guo;  Stan Z. Li
浏览  |  Adobe PDF(1015Kb)  |  收藏  |  浏览/下载：561/195  |  提交时间：2018/10/10
Age estimation  deep learning  convolutional neural network  age grouping  data imbalance